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A Mathematical Theory of Design: Foundations, Algorithms and Applications

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Cover of 'A Mathematical Theory of Design: Foundations, Algorithms and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction and Overview
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    Chapter 2 Design as Scientific Problem-Solving
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    Chapter 3 Introductory Case Studies
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    Chapter 4 Representation of Design Artifacts
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    Chapter 5 The Idealized Design Process
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    Chapter 6 Modeling the Evolutionary Design Process
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    Chapter 7 Guided Heuristics in Engineering Design
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    Chapter 8 The Measurement of a Design Structural and Functional Complexity
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    Chapter 9 Statistical Analysis of the Time Complexity Measure
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    Chapter 10 Intelligent Advisory Tool for Design Decomposition
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    Chapter 11 Physical Design of Printed Circuit Boards: Group Technology Approach
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    Chapter 12 Physical Design of Printed Circuit Boards: Genetic Algorithm Approach
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    Chapter 13 Adaptive Learning for Successful Design
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    Chapter 14 Maintaining Consistency in the Design Process
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    Chapter 15 Constraint-Based Design of Faired Parametric Curves
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    Chapter 16 Creating a Consistent 3-D Virtual Last for Problems in the Shoe Industry
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    Chapter 17 Design of a Wormgear Reducer: A Case Study
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    Chapter 18 Adaptive Learning for Successful Flexible Manufacturing Cell Design: A Case Study
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    Chapter 19 Maintaining Design Consistency: Examples
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    Chapter 20 Cases in Evolutionary Design Processes
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    Chapter 21 Concluding Reflections
Attention for Chapter 8: The Measurement of a Design Structural and Functional Complexity
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Chapter title
The Measurement of a Design Structural and Functional Complexity
Chapter number 8
Book title
A Mathematical Theory of Design: Foundations, Algorithms and Applications
Published by
Springer, Boston, MA, January 1998
DOI 10.1007/978-1-4757-2872-9_8
Book ISBNs
978-1-4419-4798-7, 978-1-4757-2872-9
Authors

Dan Braha, Oded Maimon, Braha, Dan, Maimon, Oded

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 33%
Student > Ph. D. Student 2 17%
Student > Doctoral Student 2 17%
Professor > Associate Professor 1 8%
Unknown 3 25%
Readers by discipline Count As %
Engineering 5 42%
Agricultural and Biological Sciences 1 8%
Business, Management and Accounting 1 8%
Computer Science 1 8%
Design 1 8%
Other 0 0%
Unknown 3 25%